1180 Mahalo Place, Compton, CA
1180 Mahalo Place Unit B, Compton, CA – 3,760 Square Feet
Advice for New Brokers
When we were at the SIOR conference in Lisbon this past month, Puja and Julia asked me a question I needed to think about. What advice would you give an intern starting out? For Europeans, an important clarification is that the U.S. is a highly transactional market where I see Europe as being service focused. The advice I give you may not be accurate for your needs.
Find deals. The surest way to make a living in this business is deals. It’s not for everyone because there are disappointments. The stars of the business turn rejection into an opportunity. Get a specialty. I’ve been lucky because I settled on Los Angeles industrial. Los Angeles is a vast area, with an historical basis of high fees. One small deal will exceed the annual median wage of most workers in the County (yes, there are splits). I’m doubly fortunate because my “farm area” is only a few miles from LAX, the Los Angeles Port Complex, and all the central warehouses. We call it the South Bay. It’s very dynamic with vibrant deal flow. I’m geo-based and if you go that direction, pick your location carefully.
The big money is earned by making the big deals. Big deals require strategy, intelligence, and relationships. One colleague of mine focused on large office buildings and every so often he would get a break and sell a high-rise or a campus. My big deals came from selling land to developers, buildings to investors, or a long-term tenant lease. If you can retain large clients who do multiple deals, you’ve hit the jackpot.
In terms of balance, you could say the South Bay pays my bills and big industrial deals build the wealth. I’m training a team to take over South Bay so I can focus on MrWarehouse.AI in my remaining years. Data management and hiring outside programmers is one area that sets me apart for a small firm. We have a large database and it’s been a tremendous source of leads. For us, AI is an amazing opportunity. Make sure to nurture personal relationships.
Please stay in touch and hope this advice will help.
Second Quarter Industrial Inventory
LA Industrial Buildings Rent Data
April 2026 Inventory Map
April 2026 Inventory Graph
14505 S Main St, Gardena, CA, 90248 – Heavy Power
From Vibe Coding to Deal Making
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From Vibe Coding to Deal Intelligence: How One LA Broker is Quietly Building a Tech Edge
From Vibe Coding to Deal Intelligence: How One LA Broker is Quietly Building a Tech Edge
The barrier between “having an idea” and “having a working tool” has essentially collapsed. Most commercial real estate brokers haven’t noticed yet. Jim Klein has.
Klein, an industrial real estate specialist in the Los Angeles market and a seasoned SIOR member, has spent the past stretch of time doing something most brokers his caliber rarely do: building his own technology stack. Not by hiring developers. Not by purchasing enterprise PropTech subscriptions. By sitting down with AI tools and describing, in plain English, exactly what he needs and watching functional software materialize in response.
It’s a practice gaining traction in tech circles under the name vibe coding, and it may be one of the most underappreciated skill sets a commercial broker can develop right now.
The Broker-Builder
There’s a new archetype emerging in commercial real estate. Not a technologist. Not a software entrepreneur. Just a seasoned practitioner who got curious, leaned in, and discovered that building useful tools no longer requires knowing how to code.
Vibe coding works exactly the way it sounds. You describe what you want to an AI. The AI writes the code. You refine it through conversation. You deploy it. The “coding language,” as Jim puts it, is basic English and that’s precisely what makes it accessible to anyone willing to try.
He offers one honest caveat worth passing along: having someone with a programming background nearby during those early sessions helps clear the initial hurdles. The fundamentals of how scripts connect to platforms and APIs aren’t always intuitive the first time. But once you’re past that threshold, the playing field levels quickly and the possibilities expand fast.
Two Platforms, Two Distinct Superpowers
What makes Jim’s approach particularly instructive isn’t just that he’s using AI. It’s how deliberately he’s matched the right tool to the right job. He’s built a two-platform intelligence system, each one purpose-designed for a different dimension of his business.
Gemini: The Market Radar
Jim has configured Google’s Gemini as a live intelligence feed for the industrial sector. Every day, it pulls news from sources around the globe, publications and Google Alerts he’s personally curated, and filters everything through a custom keyword ranking system. Words like expansion, growth, layoffs, WARN notice, and default trigger prioritization, automatically surfacing the stories most likely to signal a leasing event, a distress opportunity, or a tenant in motion before the broader market catches on.
What elevates this beyond a standard news aggregator is the Google Maps API integration. Every story arrives with precise location data attached. A logistics company announcing expansion in the Inland Empire isn’t just a headline. It’s a pin on a map, a radius search waiting to happen, a prospecting call that can be made before a competitor has even seen the news.
The infrastructure behind all of this? Google Workspace. Gmail. Sheets. Calendar. Docs. Tools every broker already has open on their desktop every day. What Jim discovered, and what most brokers haven’t yet, is that every one of these tools has script extensions that can be unlocked through AI-generated code. You describe what you want. The AI writes the script. When something breaks, it debugs itself.
The entire workflow is built on tools you already pay for. The only new ingredient is knowing to ask.
Claude: The Market Intelligence Engine
The second platform in Jim’s stack is Anthropic’s Claude, and here the application shifts from market surveillance to deep market knowledge.
Jim has loaded Claude with Los Angeles parcel data and market comparables, effectively transforming it into a conversational database that would have required a dedicated GIS analyst to replicate just a few years ago. From anywhere, including the field, he can ask:
- “Who are the closest building owners within 1,000 feet of this address?”
- “How does our listing compare to everything available within a one-mile radius?”
- “Who owns 123 Main Street?”
Answers come back in seconds, often with maps generated on the fly. And this is just the beginning. CRM data integration is next on Jim’s roadmap, meaning contact history, deal activity, and relationship context will soon layer directly on top of the parcel and market intelligence already in place.
This is what a true deal intelligence platform looks like when it’s built by someone who actually understands their market, not by a software company making educated guesses about what brokers need.
The Question Every Broker Should Be Asking
Jim frames the real challenge with characteristic directness:
“How are you making more deals with AI?”
Not “Are you using AI?” By now, almost everyone can check that box in some form. The sharper question is whether AI is actually changing your deal count, your deal quality, or your competitive position. That requires a different level of intentionality than having a ChatGPT account you open occasionally.
Jim’s framework offers a useful benchmark. His AI stack is:
- Proactive, not reactive. It surfaces opportunities before he goes looking for them.
- Location-aware. Every piece of intelligence is anchored to geography.
- Integrated. Tools communicate across platforms he already uses daily.
- Field-ready. It works when he’s standing in front of a building, not just when he’s back at his desk.
That’s not a technology experiment. That’s a competitive infrastructure.
The Window Is Open, But Not Forever
The early adoption advantage in AI-powered brokerage workflows is available right now. But windows like this don’t stay open indefinitely. The brokers who will look back on this moment as a turning point are the ones treating AI not as a novelty, but as infrastructure to build on. Quietly. Deliberately. Deal by deal.
Jim Klein’s example makes one thing clear: you don’t have to wait for a PropTech company to package this into a product. You don’t need to hire a developer. You need curiosity, a willingness to experiment, and maybe one person nearby who’s been around code before.
The rest, it turns out, you can figure out in plain English.
Jim Klein, SIOR, is a commercial real estate broker specializing in the industrial market in Los Angeles. His work in AI-integrated market intelligence reflects a growing movement among top practitioners applying practical technology to generate measurable business results.
13500 S. Figueroa Street
For Rent
- Dead Warehouse Space
- 10,000 Square Feet
- $9,000 per month Gross
- Available Immediately
- Flexible Term
- 24′ Clear/Sprinklered/Shared Bathrooms
- Close to Loading Doors
